Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.6 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Rojas
2
58 kgBonilla
3
73 kgSoliz
4
58 kgTorres
6
56 kgRodas
15
68 kgRaabe
25
71 kg
2
58 kgBonilla
3
73 kgSoliz
4
58 kgTorres
6
56 kgRodas
15
68 kgRaabe
25
71 kg
Weight (KG) →
Result →
73
56
2
25
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROJAS Juan Carlos | 58 |
| 3 | BONILLA José Adrián | 73 |
| 4 | SOLIZ Óscar | 58 |
| 6 | TORRES Rodolfo Andrés | 56 |
| 15 | RODAS Manuel | 68 |
| 25 | RAABE Henry | 71 |